The Data Platform Debt You Don't See Coming
Data Science Central, Thursday, August 28th, 2025
Your organization has likely invested millions of dollars into a modern data stack, providing your team with powerful cloud warehouses and cutting-edge tools.
And yet, a persistent feeling of friction often remains, a sense that getting trusted insights is far harder than it should be. The source of this friction can sometimes be misdiagnosed as isolated bugs or bad code, but the reality is far more systemic. It more often arises from a more insidious class of technical debt, one that rarely shows up in a code review but is deeply embedded in your team's processes, architecture, and strategy.